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Son yıllarda endüstrileşme, nüfus artışı, toplumun ihtiyaçlarının sürekli artması ve teknolojik gelişmeler nedeniyle ülkelerin çevresel sorunları gittikçe artmakta ve bu sorunu ortadan kaldırmak için ülkeler gerekli önlem ve tedbirleri almaktadır. Bu çalışmada çok kriterli karar verme (ÇKKV) yöntemlerinden Entropi, Gri İlişkisel Analiz (GİA) ve Oransal Analize Dayalı Çok Amaçlı Optimizasyon (MOORA) yöntemleri bütünleşik olarak kullanılarak ülkelerin çevresel performanslarını ölçen altı farklı çok kriterli karar verme modeli tanıtılmıştır. Entropi yöntemi ile kriter ağırlıkları hesaplanmış, GİA ve MOORA yöntemleri ile de ülkelerin çevresel performans düzeyleri analiz edilmiştir. Ayrıca altı farklı ÇKKV modelinden elde edilen sonuçlar bulanık mantık tabanlı bir yaklaşım ile birleştirilerek tek bir sonuca ulaşılmıştır. Analiz sonuçlarına göre, en önemli kriterlerin ormanlar, tarım ve su kaynakları olduğu, en iyi performans gösteren ülkelerin Avusturya, Danimarka ve Fransa olduğu sonucuna ulaşılmıştır.
In recent years, the country’s environmental problems are increasing due to industrialization, population growth, the constant increase in the needs of society and technological developments, and the countries are taking the necessary measures and measures to eliminate this problem. This study introduced six different multi-criteria decision-making models that measure the environmental performance of countries, integrating the methods of Entropian, Grey Relational Analysis (GIA) and Multi-purpose Optimization (MOORA) based on Oransal Analysis. The criterion weights were calculated by the entropic method, and the environmental performance levels of the countries were analyzed by the GIA and MOORA methods. In addition, the results obtained from six different CCCV models have been achieved to a single conclusion by combining a foolish logic-based approach. According to the results of the analysis, the most important criteria are forests, agriculture and water resources, and the best-performing countries are Austria, Denmark and France.
In recent years, due to industrialization, population growth, the continuous increase in the needs of the society and technological developments, the environmental problems of the countries are increasing and the countries take the necessary measures to eliminate this problem. In this study, six different multi-criteria decision-making (MCDM) models that measure the environmental performance of countries using Entropy, Gray Relational Analysis (GRA) and Multi Objective Optimization on the basis of Ratio Analysis (MOORA) methods are introduced. Criteria weights are calculated by Entropy method and environmental performance levels of countries were analyzed by GRA and MOORA methods. In addition, the results obtained from six different MCDM models are combined with a fuzzy logic-based approach and a single result is achieved. According to the results of the analysis, it is concluded that the most important criteria are forests, agriculture, and water resources; the best performing countries are Austria, Denmark and France.
Field : Sosyal, Beşeri ve İdari Bilimler
Journal Type : Ulusal
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